Title :
Exploiting the cancer and diabetes metabolic connection for therapeutic purposes
Author :
Arshad, Osama ; Venkatasubramami, Priyadharshini S. ; Datta, Amitava ; Venkatraj, Jijayanagaram
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The uncontrolled cell proliferation that is characteristically associated with cancer is usually accompanied by alterations in the genome and cell metabolism. Indeed, the phenomenon of cancer cells metabolizing glucose using a less efficient anaerobic process even in the presence of normal oxygen levels, termed the Warburg effect, is currently considered to be one of the hallmarks of cancer. Diabetes, much like cancer, is defined by significant metabolic changes. Recent epidemiological studies have shown that diabetes patients treated with the anti-diabetic drug Metformin, have significantly lowered risk of cancer as compared to patients treated with other anti-diabetic drugs. We utilize a Boolean logic model of the pathways commonly mutated in cancer to not only investigate the efficacy of Metformin for cancer therapeutic purposes but also demonstrate how Metformin in concert with standard therapeutic drugs could provide better and less toxic clinical outcomes as compared to using chemotherapy alone.
Keywords :
Boolean functions; biochemistry; cancer; cellular biophysics; drugs; Boolean logic model; Warburg effect; cancer cells; cancer therapeutic purposes; cancer-diabetes metabolic connection; cell metabolism alterations; genome alterations; glucose metabolism; metformin antidiabetic drug; uncontrolled cell proliferation; Bioinformatics; Breast cancer; Diabetes; Drugs; Educational institutions; Cancer; Metformin; Warburg effect; combination therapy design; diabetes;
Conference_Titel :
Genomic Signal Processing and Statistics (GENSIPS), 2013 IEEE International Workshop on
Conference_Location :
Houston, TX
Print_ISBN :
978-1-4799-3461-4
DOI :
10.1109/GENSIPS.2013.6735926